Differentiating Melanoma and Healthy Tissues Based on Elasticity-specific Brillouin Microspectroscopy

Overview

Journal Biomed Opt Express

Specialty Radiology

Date 2019 May 16

PMID 31086703

Citations 20

Authors

Maria Troyanova-Wood

Zhaokai Meng

Vladislav V Yakovlev

Affiliations

Soon will be listed here.

Abstract

The main objective of the present study is to evaluate the use of Brillouin microspectroscopy for differentiation of melanoma and normal tissues based on elasticity measurements. Previous studies of malignant melanoma show that the lesion is stiffer than the surrounding healthy tissue. We hypothesize that elasticity-specific Brillouin spectroscopy can be used to distinguish between healthy and cancerous regions of an excised melanoma from a Sinclair miniature swine. Brillouin measurements of non-regressing and regressing melanomas and the surrounding healthy tissues were performed. Based on the Brillouin measurements, the melanomas and healthy tissues can be successfully differentiated. The stiffness of both tumors is found to be significantly greater than the healthy tissues. Notably, we found that the elasticity of regressing melanoma is closer to that of the normal tissue. The results indicate that Brillouin spectroscopy can be utilized as a tool for elasticity-based differentiation between malignant melanoma and surrounding healthy tissue, with potential use for melanoma boundary identification, monitoring tumor progression, or response to treatment.

Citing Articles

Harnessing quantum light for microscopic biomechanical imaging of cells and tissues.

Li T, Cheburkanov V, Yakovlev V, Agarwal G, Scully M Proc Natl Acad Sci U S A. 2024; 121(45):e2413938121.

PMID: 39480851 PMC: 11551316. DOI: 10.1073/pnas.2413938121.

Pixel-level classification of pigmented skin cancer lesions using multispectral autofluorescence lifetime dermoscopy imaging.

Vasanthakumari P, Romano R, Rosa R, Salvio A, Yakovlev V, Kurachi C Biomed Opt Express. 2024; 15(8):4557-4583.

PMID: 39346997 PMC: 11427192. DOI: 10.1364/BOE.523831.

Brillouin microscopy monitors rapid responses in subcellular compartments.

Coker Z, Troyanova-Wood M, Steelman Z, Ibey B, Bixler J, Scully M Photonix. 2024; 5(1):9.

PMID: 38618142 PMC: 11006764. DOI: 10.1186/s43074-024-00123-w.

Engineering approaches for understanding mechanical memory in cancer metastasis.

Lee J, Holle A APL Bioeng. 2024; 8(2):021503.

PMID: 38605886 PMC: 11008915. DOI: 10.1063/5.0194539.

In vivo measurement of the biomechanical properties of human skin with motion-corrected Brillouin microscopy.

Romodina M, Parmar A, Singh K Biomed Opt Express. 2024; 15(3):1777-1784.

PMID: 38495685 PMC: 10942711. DOI: 10.1364/BOE.516032.

References

Krouskop T, Wheeler T, Kallel F, Garra B, Hall T . Elastic moduli of breast and prostate tissues under compression. Ultrason Imaging. 1999; 20(4):260-74. DOI: 10.1177/016173469802000403. View

Harland C, Kale S, Jackson P, Mortimer P, Bamber J . Differentiation of common benign pigmented skin lesions from melanoma by high-resolution ultrasound. Br J Dermatol. 2000; 143(2):281-9. DOI: 10.1046/j.1365-2133.2000.03652.x. View

Elbaum M, Kopf A, Rabinovitz H, Langley R, Kamino H, Mihm Jr M . Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study. J Am Acad Dermatol. 2001; 44(2):207-18. DOI: 10.1067/mjd.2001.110395. View

Kittler H, Pehamberger H, Wolff K, Binder M . Diagnostic accuracy of dermoscopy. Lancet Oncol. 2002; 3(3):159-65. DOI: 10.1016/s1470-2045(02)00679-4. View

Argenziano G, Soyer H . Dermoscopy of pigmented skin lesions--a valuable tool for early diagnosis of melanoma. Lancet Oncol. 2002; 2(7):443-9. DOI: 10.1016/s1470-2045(00)00422-8. View

Sigurdsson S, Philipsen P, Hansen L, Larsen J, Gniadecka M, Wulf H . Detection of skin cancer by classification of Raman spectra. IEEE Trans Biomed Eng. 2004; 51(10):1784-93. DOI: 10.1109/TBME.2004.831538. View

Guck J, Schinkinger S, Lincoln B, Wottawah F, Ebert S, Romeyke M . Optical deformability as an inherent cell marker for testing malignant transformation and metastatic competence. Biophys J. 2005; 88(5):3689-98. PMC: 1305515. DOI: 10.1529/biophysj.104.045476. View

Tomatis S, Carrara M, Bono A, Bartoli C, Lualdi M, Tragni G . Automated melanoma detection with a novel multispectral imaging system: results of a prospective study. Phys Med Biol. 2005; 50(8):1675-87. DOI: 10.1088/0031-9155/50/8/004. View

Hoffmann K, Jung J, El Gammal S, Altmeyer P . Malignant melanoma in 20-MHz B scan sonography. Dermatology. 1992; 185(1):49-55. DOI: 10.1159/000247403. View

10.

Itoh A, Ueno E, Tohno E, Kamma H, Takahashi H, Shiina T . Breast disease: clinical application of US elastography for diagnosis. Radiology. 2006; 239(2):341-50. DOI: 10.1148/radiol.2391041676. View

11.

Miller A, Mihm Jr M . Melanoma. N Engl J Med. 2006; 355(1):51-65. DOI: 10.1056/NEJMra052166. View

12.

Salomatina E, Jiang B, Novak J, Yaroslavsky A . Optical properties of normal and cancerous human skin in the visible and near-infrared spectral range. J Biomed Opt. 2007; 11(6):064026. DOI: 10.1117/1.2398928. View

13.

Lieber C, Majumder S, Billheimer D, Ellis D, Mahadevan-Jansen A . Raman microspectroscopy for skin cancer detection in vitro. J Biomed Opt. 2008; 13(2):024013. DOI: 10.1117/1.2899155. View

14.

Ophir J, Cespedes I, Ponnekanti H, Yazdi Y, Li X . Elastography: a quantitative method for imaging the elasticity of biological tissues. Ultrason Imaging. 1991; 13(2):111-34. DOI: 10.1177/016173469101300201. View

15.

Suresh S . Nanomedicine: elastic clues in cancer detection. Nat Nanotechnol. 2008; 2(12):748-9. DOI: 10.1038/nnano.2007.397. View

16.

Cross S, Jin Y, Rao J, Gimzewski J . Nanomechanical analysis of cells from cancer patients. Nat Nanotechnol. 2008; 2(12):780-3. DOI: 10.1038/nnano.2007.388. View

17.

Garbe C, Leiter U . Melanoma epidemiology and trends. Clin Dermatol. 2008; 27(1):3-9. DOI: 10.1016/j.clindermatol.2008.09.001. View

18.

Ginat D, Destounis S, Barr R, Castaneda B, Strang J, Rubens D . US elastography of breast and prostate lesions. Radiographics. 2009; 29(7):2007-16. DOI: 10.1148/rg.297095058. View

19.

Swaminathan V, Mythreye K, OBrien E, Berchuck A, Blobe G, Superfine R . Mechanical stiffness grades metastatic potential in patient tumor cells and in cancer cell lines. Cancer Res. 2011; 71(15):5075-80. PMC: 3220953. DOI: 10.1158/0008-5472.CAN-11-0247. View

20.

Hinz T, Wenzel J, Schmid-Wendtner M . Real-time tissue elastography: a helpful tool in the diagnosis of cutaneous melanoma?. J Am Acad Dermatol. 2011; 65(2):424-426. DOI: 10.1016/j.jaad.2010.08.009. View